---
title: "Single Column (Scrolling)"
output: 
  flexdashboard::flex_dashboard:
    orientation: rows
    social: menu
    source_code: embed
---

```{r setup, include=FALSE}
library(flexdashboard)
library(plotly)
library(covid19italy)
library(ggplot2)

```

Column {data-width=650}
-----------------------------------------------------------------------

### Chart A

```{r}
plot_ly(data = italy_total,
        x = ~ date,
        y = ~home_confinement,
        name = 'Home Confinement',
        fillcolor = '#FDBBBC',
        type = 'scatter',
        mode = 'none',
        stackgroup = 'one') %>%
  add_trace( y = ~ hospitalized_with_symptoms,
             name = "Hospitalized with Symptoms",
             fillcolor = '#E41317') %>%
  add_trace(y = ~intensive_care,
            name = 'Intensive Care',
            fillcolor = '#9E0003') %>%
  layout(title = "Italy - Distribution of Active Covid19 Cases",
         legend = list(x = 0.1, y = 0.9),
         yaxis = list(title = "Number of Cases"),
         xaxis = list(title = "Source: Italy Department of Civil Protection"))
```

Column {data-width=350}
-----------------------------------------------------------------------

### Chart B

```{r}
plot_ly(data = italy_total,
        x = ~ date,
        y = ~ cumulative_cases,
        name = 'Active',
        fillcolor = '#1f77b4',
        type = 'scatter',
        mode = 'none',
        stackgroup = 'one') %>%
  add_trace( y = ~ death,
             name = "Death",
             fillcolor = '#E41317') %>%
  add_trace(y = ~recovered,
            name = 'Recovered',
            fillcolor = 'forestgreen') %>%
  layout(title = "Italy - Distribution of Covid19 Cases",
         legend = list(x = 0.1, y = 0.9),
         yaxis = list(title = "Number of Cases"),
         xaxis = list(title = "Source: Italy Department of Civil Protection"))
```

### Chart C

```{r}
italy_province %>%
  filter(date == max(date), region_name == "Lombardia") %>%
  plot_ly(labels = ~province_name, values = ~total_cases,
          textinfo="label+percent",
          type = 'pie') %>%
  layout(title = "Lombardia - Cases Distribution by Province") %>%
  hide_legend()
```

\newpage

Row
-----------------------------------------------------------------------

### Total Deaths

```{r}
  valueBox(max(italy_total$death), 
           icon = "fa-skull")
```

### Cumulative Cases

```{r}
  valueBox(max(italy_total$cumulative_cases), 
           icon = "fa-virus-slash")
```

### Total Tests

```{r}
  valueBox(max(italy_total$total_tests), 
           icon = "fa-briefcase-medical")
```